__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_9 (InputLayer) (None, 96, 96, 3) 0
__________________________________________________________________________________________________
conv2d_1168 (Conv2D) (None, 47, 47, 16) 448 input_9[0][0]
__________________________________________________________________________________________________
conv2d_1169 (Conv2D) (None, 45, 45, 16) 2320 conv2d_1168[0][0]
__________________________________________________________________________________________________
conv2d_1170 (Conv2D) (None, 45, 45, 32) 4640 conv2d_1169[0][0]
__________________________________________________________________________________________________
max_pooling2d_28 (MaxPooling2D) (None, 22, 22, 32) 0 conv2d_1170[0][0]
__________________________________________________________________________________________________
conv2d_1171 (Conv2D) (None, 22, 22, 48) 13872 conv2d_1170[0][0]
__________________________________________________________________________________________________
concatenate_148 (Concatenate) (None, 22, 22, 80) 0 max_pooling2d_28[0][0]
conv2d_1171[0][0]
__________________________________________________________________________________________________
conv2d_1174 (Conv2D) (None, 22, 22, 32) 2592 concatenate_148[0][0]
__________________________________________________________________________________________________
conv2d_1175 (Conv2D) (None, 22, 22, 32) 7200 conv2d_1174[0][0]
__________________________________________________________________________________________________
conv2d_1172 (Conv2D) (None, 22, 22, 32) 2592 concatenate_148[0][0]
__________________________________________________________________________________________________
conv2d_1176 (Conv2D) (None, 22, 22, 32) 7200 conv2d_1175[0][0]
__________________________________________________________________________________________________
conv2d_1173 (Conv2D) (None, 20, 20, 48) 13872 conv2d_1172[0][0]
__________________________________________________________________________________________________
conv2d_1177 (Conv2D) (None, 20, 20, 48) 13872 conv2d_1176[0][0]
__________________________________________________________________________________________________
concatenate_149 (Concatenate) (None, 20, 20, 96) 0 conv2d_1173[0][0]
conv2d_1177[0][0]
__________________________________________________________________________________________________
conv2d_1178 (Conv2D) (None, 9, 9, 96) 83040 concatenate_149[0][0]
__________________________________________________________________________________________________
zero_padding2d_8 (ZeroPadding2D (None, 10, 10, 96) 0 conv2d_1178[0][0]
__________________________________________________________________________________________________
max_pooling2d_29 (MaxPooling2D) (None, 10, 10, 96) 0 concatenate_149[0][0]
__________________________________________________________________________________________________
concatenate_150 (Concatenate) (None, 10, 10, 192) 0 zero_padding2d_8[0][0]
max_pooling2d_29[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 10, 10, 192) 768 concatenate_150[0][0]
__________________________________________________________________________________________________
conv2d_1183 (Conv2D) (None, 10, 10, 32) 6176 batch_normalization_12[0][0]
__________________________________________________________________________________________________
average_pooling2d_120 (AverageP (None, 10, 10, 192) 0 batch_normalization_12[0][0]
__________________________________________________________________________________________________
conv2d_1181 (Conv2D) (None, 10, 10, 32) 6176 batch_normalization_12[0][0]
__________________________________________________________________________________________________
conv2d_1184 (Conv2D) (None, 10, 10, 48) 13872 conv2d_1183[0][0]
__________________________________________________________________________________________________
conv2d_1179 (Conv2D) (None, 10, 10, 48) 9264 average_pooling2d_120[0][0]
__________________________________________________________________________________________________
conv2d_1180 (Conv2D) (None, 10, 10, 48) 9264 batch_normalization_12[0][0]
__________________________________________________________________________________________________
conv2d_1182 (Conv2D) (None, 10, 10, 48) 13872 conv2d_1181[0][0]
__________________________________________________________________________________________________
conv2d_1185 (Conv2D) (None, 10, 10, 48) 20784 conv2d_1184[0][0]
__________________________________________________________________________________________________
concatenate_151 (Concatenate) (None, 10, 10, 192) 0 conv2d_1179[0][0]
conv2d_1180[0][0]
conv2d_1182[0][0]
conv2d_1185[0][0]
__________________________________________________________________________________________________
conv2d_1190 (Conv2D) (None, 10, 10, 32) 6176 concatenate_151[0][0]
__________________________________________________________________________________________________
average_pooling2d_121 (AverageP (None, 10, 10, 192) 0 concatenate_151[0][0]
__________________________________________________________________________________________________
conv2d_1188 (Conv2D) (None, 10, 10, 32) 6176 concatenate_151[0][0]
__________________________________________________________________________________________________
conv2d_1191 (Conv2D) (None, 10, 10, 48) 13872 conv2d_1190[0][0]
__________________________________________________________________________________________________
conv2d_1186 (Conv2D) (None, 10, 10, 48) 9264 average_pooling2d_121[0][0]
__________________________________________________________________________________________________
conv2d_1187 (Conv2D) (None, 10, 10, 48) 9264 concatenate_151[0][0]
__________________________________________________________________________________________________
conv2d_1189 (Conv2D) (None, 10, 10, 48) 13872 conv2d_1188[0][0]
__________________________________________________________________________________________________
conv2d_1192 (Conv2D) (None, 10, 10, 48) 20784 conv2d_1191[0][0]
__________________________________________________________________________________________________
concatenate_152 (Concatenate) (None, 10, 10, 192) 0 conv2d_1186[0][0]
conv2d_1187[0][0]
conv2d_1189[0][0]
conv2d_1192[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 10, 10, 192) 768 concatenate_152[0][0]
__________________________________________________________________________________________________
conv2d_1197 (Conv2D) (None, 10, 10, 32) 6176 batch_normalization_13[0][0]
__________________________________________________________________________________________________
average_pooling2d_122 (AverageP (None, 10, 10, 192) 0 batch_normalization_13[0][0]
__________________________________________________________________________________________________
conv2d_1195 (Conv2D) (None, 10, 10, 32) 6176 batch_normalization_13[0][0]
__________________________________________________________________________________________________
conv2d_1198 (Conv2D) (None, 10, 10, 48) 13872 conv2d_1197[0][0]
__________________________________________________________________________________________________
conv2d_1193 (Conv2D) (None, 10, 10, 48) 9264 average_pooling2d_122[0][0]
__________________________________________________________________________________________________
conv2d_1194 (Conv2D) (None, 10, 10, 48) 9264 batch_normalization_13[0][0]
__________________________________________________________________________________________________
conv2d_1196 (Conv2D) (None, 10, 10, 48) 13872 conv2d_1195[0][0]
__________________________________________________________________________________________________
conv2d_1199 (Conv2D) (None, 10, 10, 48) 20784 conv2d_1198[0][0]
__________________________________________________________________________________________________
concatenate_153 (Concatenate) (None, 10, 10, 192) 0 conv2d_1193[0][0]
conv2d_1194[0][0]
conv2d_1196[0][0]
conv2d_1199[0][0]
__________________________________________________________________________________________________
conv2d_1204 (Conv2D) (None, 10, 10, 32) 6176 concatenate_153[0][0]
__________________________________________________________________________________________________
average_pooling2d_123 (AverageP (None, 10, 10, 192) 0 concatenate_153[0][0]
__________________________________________________________________________________________________
conv2d_1202 (Conv2D) (None, 10, 10, 32) 6176 concatenate_153[0][0]
__________________________________________________________________________________________________
conv2d_1205 (Conv2D) (None, 10, 10, 48) 13872 conv2d_1204[0][0]
__________________________________________________________________________________________________
conv2d_1200 (Conv2D) (None, 10, 10, 48) 9264 average_pooling2d_123[0][0]
__________________________________________________________________________________________________
conv2d_1201 (Conv2D) (None, 10, 10, 48) 9264 concatenate_153[0][0]
__________________________________________________________________________________________________
conv2d_1203 (Conv2D) (None, 10, 10, 48) 13872 conv2d_1202[0][0]
__________________________________________________________________________________________________
conv2d_1206 (Conv2D) (None, 10, 10, 48) 20784 conv2d_1205[0][0]
__________________________________________________________________________________________________
concatenate_154 (Concatenate) (None, 10, 10, 192) 0 conv2d_1200[0][0]
conv2d_1201[0][0]
conv2d_1203[0][0]
conv2d_1206[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 10, 10, 192) 768 concatenate_154[0][0]
__________________________________________________________________________________________________
conv2d_1208 (Conv2D) (None, 10, 10, 96) 18528 batch_normalization_14[0][0]
__________________________________________________________________________________________________
conv2d_1209 (Conv2D) (None, 10, 10, 112) 96880 conv2d_1208[0][0]
__________________________________________________________________________________________________
max_pooling2d_30 (MaxPooling2D) (None, 4, 4, 192) 0 batch_normalization_14[0][0]
__________________________________________________________________________________________________
conv2d_1207 (Conv2D) (None, 4, 4, 192) 331968 batch_normalization_14[0][0]
__________________________________________________________________________________________________
conv2d_1210 (Conv2D) (None, 4, 4, 128) 129152 conv2d_1209[0][0]
__________________________________________________________________________________________________
concatenate_155 (Concatenate) (None, 4, 4, 512) 0 max_pooling2d_30[0][0]
conv2d_1207[0][0]
conv2d_1210[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 4, 4, 512) 2048 concatenate_155[0][0]
__________________________________________________________________________________________________
conv2d_1216 (Conv2D) (None, 4, 4, 96) 49248 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_1217 (Conv2D) (None, 4, 4, 96) 64608 conv2d_1216[0][0]
__________________________________________________________________________________________________
conv2d_1213 (Conv2D) (None, 4, 4, 96) 49248 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_1218 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1217[0][0]
__________________________________________________________________________________________________
average_pooling2d_124 (AverageP (None, 4, 4, 512) 0 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_1214 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1213[0][0]
__________________________________________________________________________________________________
conv2d_1219 (Conv2D) (None, 4, 4, 112) 87920 conv2d_1218[0][0]
__________________________________________________________________________________________________
conv2d_1211 (Conv2D) (None, 4, 4, 64) 32832 average_pooling2d_124[0][0]
__________________________________________________________________________________________________
conv2d_1212 (Conv2D) (None, 4, 4, 192) 98496 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_1215 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1214[0][0]
__________________________________________________________________________________________________
conv2d_1220 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1219[0][0]
__________________________________________________________________________________________________
concatenate_156 (Concatenate) (None, 4, 4, 512) 0 conv2d_1211[0][0]
conv2d_1212[0][0]
conv2d_1215[0][0]
conv2d_1220[0][0]
__________________________________________________________________________________________________
conv2d_1226 (Conv2D) (None, 4, 4, 96) 49248 concatenate_156[0][0]
__________________________________________________________________________________________________
conv2d_1227 (Conv2D) (None, 4, 4, 96) 64608 conv2d_1226[0][0]
__________________________________________________________________________________________________
conv2d_1223 (Conv2D) (None, 4, 4, 96) 49248 concatenate_156[0][0]
__________________________________________________________________________________________________
conv2d_1228 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1227[0][0]
__________________________________________________________________________________________________
average_pooling2d_125 (AverageP (None, 4, 4, 512) 0 concatenate_156[0][0]
__________________________________________________________________________________________________
conv2d_1224 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1223[0][0]
__________________________________________________________________________________________________
conv2d_1229 (Conv2D) (None, 4, 4, 112) 87920 conv2d_1228[0][0]
__________________________________________________________________________________________________
conv2d_1221 (Conv2D) (None, 4, 4, 64) 32832 average_pooling2d_125[0][0]
__________________________________________________________________________________________________
conv2d_1222 (Conv2D) (None, 4, 4, 192) 98496 concatenate_156[0][0]
__________________________________________________________________________________________________
conv2d_1225 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1224[0][0]
__________________________________________________________________________________________________
conv2d_1230 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1229[0][0]
__________________________________________________________________________________________________
concatenate_157 (Concatenate) (None, 4, 4, 512) 0 conv2d_1221[0][0]
conv2d_1222[0][0]
conv2d_1225[0][0]
conv2d_1230[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 4, 4, 512) 2048 concatenate_157[0][0]
__________________________________________________________________________________________________
conv2d_1236 (Conv2D) (None, 4, 4, 96) 49248 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_1237 (Conv2D) (None, 4, 4, 96) 64608 conv2d_1236[0][0]
__________________________________________________________________________________________________
conv2d_1233 (Conv2D) (None, 4, 4, 96) 49248 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_1238 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1237[0][0]
__________________________________________________________________________________________________
average_pooling2d_126 (AverageP (None, 4, 4, 512) 0 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_1234 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1233[0][0]
__________________________________________________________________________________________________
conv2d_1239 (Conv2D) (None, 4, 4, 112) 87920 conv2d_1238[0][0]
__________________________________________________________________________________________________
conv2d_1231 (Conv2D) (None, 4, 4, 64) 32832 average_pooling2d_126[0][0]
__________________________________________________________________________________________________
conv2d_1232 (Conv2D) (None, 4, 4, 192) 98496 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_1235 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1234[0][0]
__________________________________________________________________________________________________
conv2d_1240 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1239[0][0]
__________________________________________________________________________________________________
concatenate_158 (Concatenate) (None, 4, 4, 512) 0 conv2d_1231[0][0]
conv2d_1232[0][0]
conv2d_1235[0][0]
conv2d_1240[0][0]
__________________________________________________________________________________________________
conv2d_1246 (Conv2D) (None, 4, 4, 96) 49248 concatenate_158[0][0]
__________________________________________________________________________________________________
conv2d_1247 (Conv2D) (None, 4, 4, 96) 64608 conv2d_1246[0][0]
__________________________________________________________________________________________________
conv2d_1243 (Conv2D) (None, 4, 4, 96) 49248 concatenate_158[0][0]
__________________________________________________________________________________________________
conv2d_1248 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1247[0][0]
__________________________________________________________________________________________________
average_pooling2d_127 (AverageP (None, 4, 4, 512) 0 concatenate_158[0][0]
__________________________________________________________________________________________________
conv2d_1244 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1243[0][0]
__________________________________________________________________________________________________
conv2d_1249 (Conv2D) (None, 4, 4, 112) 87920 conv2d_1248[0][0]
__________________________________________________________________________________________________
conv2d_1241 (Conv2D) (None, 4, 4, 64) 32832 average_pooling2d_127[0][0]
__________________________________________________________________________________________________
conv2d_1242 (Conv2D) (None, 4, 4, 192) 98496 concatenate_158[0][0]
__________________________________________________________________________________________________
conv2d_1245 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1244[0][0]
__________________________________________________________________________________________________
conv2d_1250 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1249[0][0]
__________________________________________________________________________________________________
concatenate_159 (Concatenate) (None, 4, 4, 512) 0 conv2d_1241[0][0]
conv2d_1242[0][0]
conv2d_1245[0][0]
conv2d_1250[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 4, 4, 512) 2048 concatenate_159[0][0]
__________________________________________________________________________________________________
conv2d_1256 (Conv2D) (None, 4, 4, 96) 49248 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_1257 (Conv2D) (None, 4, 4, 96) 64608 conv2d_1256[0][0]
__________________________________________________________________________________________________
conv2d_1253 (Conv2D) (None, 4, 4, 96) 49248 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_1258 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1257[0][0]
__________________________________________________________________________________________________
average_pooling2d_128 (AverageP (None, 4, 4, 512) 0 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_1254 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1253[0][0]
__________________________________________________________________________________________________
conv2d_1259 (Conv2D) (None, 4, 4, 112) 87920 conv2d_1258[0][0]
__________________________________________________________________________________________________
conv2d_1251 (Conv2D) (None, 4, 4, 64) 32832 average_pooling2d_128[0][0]
__________________________________________________________________________________________________
conv2d_1252 (Conv2D) (None, 4, 4, 192) 98496 batch_normalization_17[0][0]
__________________________________________________________________________________________________
conv2d_1255 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1254[0][0]
__________________________________________________________________________________________________
conv2d_1260 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1259[0][0]
__________________________________________________________________________________________________
concatenate_160 (Concatenate) (None, 4, 4, 512) 0 conv2d_1251[0][0]
conv2d_1252[0][0]
conv2d_1255[0][0]
conv2d_1260[0][0]
__________________________________________________________________________________________________
conv2d_1266 (Conv2D) (None, 4, 4, 96) 49248 concatenate_160[0][0]
__________________________________________________________________________________________________
conv2d_1267 (Conv2D) (None, 4, 4, 96) 64608 conv2d_1266[0][0]
__________________________________________________________________________________________________
conv2d_1263 (Conv2D) (None, 4, 4, 96) 49248 concatenate_160[0][0]
__________________________________________________________________________________________________
conv2d_1268 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1267[0][0]
__________________________________________________________________________________________________
average_pooling2d_129 (AverageP (None, 4, 4, 512) 0 concatenate_160[0][0]
__________________________________________________________________________________________________
conv2d_1264 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1263[0][0]
__________________________________________________________________________________________________
conv2d_1269 (Conv2D) (None, 4, 4, 112) 87920 conv2d_1268[0][0]
__________________________________________________________________________________________________
conv2d_1261 (Conv2D) (None, 4, 4, 64) 32832 average_pooling2d_129[0][0]
__________________________________________________________________________________________________
conv2d_1262 (Conv2D) (None, 4, 4, 192) 98496 concatenate_160[0][0]
__________________________________________________________________________________________________
conv2d_1265 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1264[0][0]
__________________________________________________________________________________________________
conv2d_1270 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1269[0][0]
__________________________________________________________________________________________________
concatenate_161 (Concatenate) (None, 4, 4, 512) 0 conv2d_1261[0][0]
conv2d_1262[0][0]
conv2d_1265[0][0]
conv2d_1270[0][0]
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 4, 4, 512) 2048 concatenate_161[0][0]
__________________________________________________________________________________________________
conv2d_1276 (Conv2D) (None, 4, 4, 96) 49248 batch_normalization_18[0][0]
__________________________________________________________________________________________________
conv2d_1277 (Conv2D) (None, 4, 4, 96) 64608 conv2d_1276[0][0]
__________________________________________________________________________________________________
conv2d_1273 (Conv2D) (None, 4, 4, 96) 49248 batch_normalization_18[0][0]
__________________________________________________________________________________________________
conv2d_1278 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1277[0][0]
__________________________________________________________________________________________________
average_pooling2d_130 (AverageP (None, 4, 4, 512) 0 batch_normalization_18[0][0]
__________________________________________________________________________________________________
conv2d_1274 (Conv2D) (None, 4, 4, 112) 75376 conv2d_1273[0][0]
__________________________________________________________________________________________________
conv2d_1279 (Conv2D) (None, 4, 4, 112) 87920 conv2d_1278[0][0]
__________________________________________________________________________________________________
conv2d_1271 (Conv2D) (None, 4, 4, 64) 32832 average_pooling2d_130[0][0]
__________________________________________________________________________________________________
conv2d_1272 (Conv2D) (None, 4, 4, 192) 98496 batch_normalization_18[0][0]
__________________________________________________________________________________________________
conv2d_1275 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1274[0][0]
__________________________________________________________________________________________________
conv2d_1280 (Conv2D) (None, 4, 4, 128) 100480 conv2d_1279[0][0]
__________________________________________________________________________________________________
concatenate_162 (Concatenate) (None, 4, 4, 512) 0 conv2d_1271[0][0]
conv2d_1272[0][0]
conv2d_1275[0][0]
conv2d_1280[0][0]
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 4, 4, 512) 2048 concatenate_162[0][0]
__________________________________________________________________________________________________
conv2d_1283 (Conv2D) (None, 4, 4, 128) 65664 batch_normalization_19[0][0]
__________________________________________________________________________________________________
conv2d_1284 (Conv2D) (None, 4, 4, 128) 114816 conv2d_1283[0][0]
__________________________________________________________________________________________________
conv2d_1281 (Conv2D) (None, 4, 4, 96) 49248 batch_normalization_19[0][0]
__________________________________________________________________________________________________
conv2d_1285 (Conv2D) (None, 4, 4, 160) 143520 conv2d_1284[0][0]
__________________________________________________________________________________________________
max_pooling2d_31 (MaxPooling2D) (None, 1, 1, 512) 0 batch_normalization_19[0][0]
__________________________________________________________________________________________________
conv2d_1282 (Conv2D) (None, 1, 1, 96) 83040 conv2d_1281[0][0]
__________________________________________________________________________________________________
conv2d_1286 (Conv2D) (None, 1, 1, 160) 230560 conv2d_1285[0][0]
__________________________________________________________________________________________________
concatenate_163 (Concatenate) (None, 1, 1, 768) 0 max_pooling2d_31[0][0]
conv2d_1282[0][0]
conv2d_1286[0][0]
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 1, 1, 768) 3072 concatenate_163[0][0]
__________________________________________________________________________________________________
conv2d_1292 (Conv2D) (None, 1, 1, 192) 147648 batch_normalization_20[0][0]
__________________________________________________________________________________________________
conv2d_1293 (Conv2D) (None, 1, 1, 224) 129248 conv2d_1292[0][0]
__________________________________________________________________________________________________
average_pooling2d_131 (AverageP (None, 1, 1, 768) 0 batch_normalization_20[0][0]
__________________________________________________________________________________________________
conv2d_1289 (Conv2D) (None, 1, 1, 192) 147648 batch_normalization_20[0][0]
__________________________________________________________________________________________________
conv2d_1294 (Conv2D) (None, 1, 1, 256) 172288 conv2d_1293[0][0]
__________________________________________________________________________________________________
conv2d_1287 (Conv2D) (None, 1, 1, 128) 98432 average_pooling2d_131[0][0]
__________________________________________________________________________________________________
conv2d_1288 (Conv2D) (None, 1, 1, 128) 98432 batch_normalization_20[0][0]
__________________________________________________________________________________________________
conv2d_1290 (Conv2D) (None, 1, 1, 128) 73856 conv2d_1289[0][0]
__________________________________________________________________________________________________
conv2d_1291 (Conv2D) (None, 1, 1, 128) 73856 conv2d_1289[0][0]
__________________________________________________________________________________________________
conv2d_1295 (Conv2D) (None, 1, 1, 128) 98432 conv2d_1294[0][0]
__________________________________________________________________________________________________
conv2d_1296 (Conv2D) (None, 1, 1, 128) 98432 conv2d_1294[0][0]
__________________________________________________________________________________________________
concatenate_164 (Concatenate) (None, 1, 1, 768) 0 conv2d_1287[0][0]
conv2d_1288[0][0]
conv2d_1290[0][0]
conv2d_1291[0][0]
conv2d_1295[0][0]
conv2d_1296[0][0]
__________________________________________________________________________________________________
conv2d_1302 (Conv2D) (None, 1, 1, 192) 147648 concatenate_164[0][0]
__________________________________________________________________________________________________
conv2d_1303 (Conv2D) (None, 1, 1, 224) 129248 conv2d_1302[0][0]
__________________________________________________________________________________________________
average_pooling2d_132 (AverageP (None, 1, 1, 768) 0 concatenate_164[0][0]
__________________________________________________________________________________________________
conv2d_1299 (Conv2D) (None, 1, 1, 192) 147648 concatenate_164[0][0]
__________________________________________________________________________________________________
conv2d_1304 (Conv2D) (None, 1, 1, 256) 172288 conv2d_1303[0][0]
__________________________________________________________________________________________________
conv2d_1297 (Conv2D) (None, 1, 1, 128) 98432 average_pooling2d_132[0][0]
__________________________________________________________________________________________________
conv2d_1298 (Conv2D) (None, 1, 1, 128) 98432 concatenate_164[0][0]
__________________________________________________________________________________________________
conv2d_1300 (Conv2D) (None, 1, 1, 128) 73856 conv2d_1299[0][0]
__________________________________________________________________________________________________
conv2d_1301 (Conv2D) (None, 1, 1, 128) 73856 conv2d_1299[0][0]
__________________________________________________________________________________________________
conv2d_1305 (Conv2D) (None, 1, 1, 128) 98432 conv2d_1304[0][0]
__________________________________________________________________________________________________
conv2d_1306 (Conv2D) (None, 1, 1, 128) 98432 conv2d_1304[0][0]
__________________________________________________________________________________________________
concatenate_165 (Concatenate) (None, 1, 1, 768) 0 conv2d_1297[0][0]
conv2d_1298[0][0]
conv2d_1300[0][0]
conv2d_1301[0][0]
conv2d_1305[0][0]
conv2d_1306[0][0]
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 1, 1, 768) 3072 concatenate_165[0][0]
__________________________________________________________________________________________________
conv2d_1312 (Conv2D) (None, 1, 1, 192) 147648 batch_normalization_21[0][0]
__________________________________________________________________________________________________
conv2d_1313 (Conv2D) (None, 1, 1, 224) 129248 conv2d_1312[0][0]
__________________________________________________________________________________________________
average_pooling2d_133 (AverageP (None, 1, 1, 768) 0 batch_normalization_21[0][0]
__________________________________________________________________________________________________
conv2d_1309 (Conv2D) (None, 1, 1, 192) 147648 batch_normalization_21[0][0]
__________________________________________________________________________________________________
conv2d_1314 (Conv2D) (None, 1, 1, 256) 172288 conv2d_1313[0][0]
__________________________________________________________________________________________________
conv2d_1307 (Conv2D) (None, 1, 1, 128) 98432 average_pooling2d_133[0][0]
__________________________________________________________________________________________________
conv2d_1308 (Conv2D) (None, 1, 1, 128) 98432 batch_normalization_21[0][0]
__________________________________________________________________________________________________
conv2d_1310 (Conv2D) (None, 1, 1, 128) 73856 conv2d_1309[0][0]
__________________________________________________________________________________________________
conv2d_1311 (Conv2D) (None, 1, 1, 128) 73856 conv2d_1309[0][0]
__________________________________________________________________________________________________
conv2d_1315 (Conv2D) (None, 1, 1, 128) 98432 conv2d_1314[0][0]
__________________________________________________________________________________________________
conv2d_1316 (Conv2D) (None, 1, 1, 128) 98432 conv2d_1314[0][0]
__________________________________________________________________________________________________
concatenate_166 (Concatenate) (None, 1, 1, 768) 0 conv2d_1307[0][0]
conv2d_1308[0][0]
conv2d_1310[0][0]
conv2d_1311[0][0]
conv2d_1315[0][0]
conv2d_1316[0][0]
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 1, 1, 768) 3072 concatenate_166[0][0]
__________________________________________________________________________________________________
average_pooling2d_134 (AverageP (None, 1, 1, 768) 0 batch_normalization_22[0][0]
__________________________________________________________________________________________________
flatten_8 (Flatten) (None, 768) 0 average_pooling2d_134[0][0]
__________________________________________________________________________________________________
dense_16 (Dense) (None, 256) 196864 flatten_8[0][0]
__________________________________________________________________________________________________
dropout_8 (Dropout) (None, 256) 0 dense_16[0][0]
__________________________________________________________________________________________________
dense_17 (Dense) (None, 2) 514 dropout_8[0][0]
==================================================================================================
Total params: 10,505,058
Trainable params: 10,494,178
Non-trainable params: 10,880
__________________________________________________________________________________________________